Evidence map›Paper›PMID 33948236›Full record

ArticleJournal of clinical and translational science2020

Charting the life course: Emerging opportunities to advance scientific approaches using life course research.

Heidi A Hanson, Claire L Leiser, Gretchen Bandoli, Brad H Pollock, Margaret R Karagas, Daniel Armstrong, Ann Dozier, Nicole G Weiskopf, Maureen Monaghan, Ann M Davis and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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  6. Review
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  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Heidi A HansonPopulation Sciences, Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT, USA.ORCID https://orcid.org/0000-0003-0056-196X
Claire L LeiserPopulation Sciences, Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT, USA.
Gretchen BandoliDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Brad H PollockDepartment of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, USA.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Daniel ArmstrongDepartment of Pediatrics, University of Miami Miller School of Medicine, Miami, FL, USA.
Ann DozierPublic Health Sciences, University of Rochester, Rochester, NY, USA.
Nicole G WeiskopfDepartment of Biomedical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.
Maureen MonaghanChildren's National Hospital, Washington, DC, USA.
Ann M DavisUniversity of Kansas Medical Center, Kansas City, KS, USA.
Elizabeth EckstromDivision of General Internal Medicine & Geriatrics and Oregon Clinical & Translational Research Institute, Oregon Health & Science University, Portland, OR, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Jonathan N TobinCenter for Clinical and Translational Science, The Rockefeller University, New York, NY, USA.
Frederick KaskelDepartment of Pediatrics, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA.
Mark R SchleissUniversity of Minnesota Clinical and Translational Science Institute, Minneapolis, MN, USA.
Peter SzilagyiDepartment of Pediatrics, UCLA Mattel Children's Hospital, University of California at Los Angeles, Los Angeles, CA, USA.
Carrie DykesClinical and Translational Science Institute, University of Rochester, Rochester, NY, USA.
Dan CooperInstitute for Clinical and Translational Science and Department of Pediatrics, University of California at Irvine, Irvine, CA, USA.
Shari L BarkinDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
Clinical and Translational Science Institute at Childrens NationalUL1TR001876 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI BELL, MICHAEL J · 2016 to 2021
$25.6M
University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
NCATS NIH HHS U01 TR002004NCATS NIH HHS U24 TR002306NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1 TR001067NCATS NIH HHS UL1 TR001086NCATS NIH HHS UL1 TR001414NCATS NIH HHS UL1 TR001442NCATS NIH HHS UL1 TR001860NCATS NIH HHS UL1 TR001866NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR001876NCATS NIH HHS UL1 TR002001NCATS NIH HHS UL1 TR002369NCATS NIH HHS UL1 TR002494NCI NIH HHS K07 CA230150NHLBI NIH HHS R01 HL110163NIAAA NIH HHS K01 AA027811NICHD NIH HHS P01 HD048721NICHD NIH HHS R01 HD079918NIDDK NIH HHS T32 DK007110NIEHS NIH HHS P01 ES022832NLM NIH HHS K01 LM012738NLM NIH HHS R01 LM009886
6 · The paper itself

Abstract

Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and environment. This interdisciplinary blueprint, or theoretical framework, offers a structure for research ideas and specifies relationships between related factors. Traditionally, methodological approaches attempt to reduce the complexity of these dynamic interactions and decompose health into component parts, ignoring the complex reciprocal interaction of factors that shape health over time. New methods that match the epistemological foundation of the life course framework are needed to fully explore adaptive, multilevel, and reciprocal interactions between individuals and their environment. The focus of this article is to (1) delineate the differences between lifespan and life course research, (2) articulate the importance of complex systems science as a methodological framework in the life course research toolbox to guide our research questions, (3) raise key questions that can be asked within the clinical and translational science domain utilizing this framework, and (4) provide recommendations for life course research implementation, charting the way forward. Recent advances in computational analytics, computer science, and data collection could be used to approximate, measure, and analyze the intertwining and dynamic nature of genetic and environmental factors involved in health development.

Indexed as

complexity sciencecytomegaloviruslife course and lifespanlife course methodslife course research prioritiesTranslational life course research

Identifiers

PMID33948236
PMCPMC8057465

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.